A data-efficient foundation model for porous materials based on expert-guided supervised learning

Jiawen Zou

Zirui Lv

College of Chemistry and Materials, Department of Chemistry, Department of Macromolecular Science, Laboratory of Advanced Materials, Shanghai Key Laboratory of Molecular Catalysis and Innovative Materials, State Key Laboratory of Molecular Engineering of Polymers, Collaborative Innovation Center of Chemistry for Energy Materials (2011-ChEM)

Weimin Tan

Taoyang Wang

Runfeng Lin

College of Chemistry and Materials, Department of Chemistry, Department of Macromolecular Science, Laboratory of Advanced Materials, Shanghai Key Laboratory of Molecular Catalysis and Innovative Materials, State Key Laboratory of Molecular Engineering of Polymers, Collaborative Innovation Center of Chemistry for Energy Materials (2011-ChEM)

Zhongyao Wang

Yi Yang

Qiaowei Li

Department of Chemistry, State Key Laboratory of Porous Materials for Separation and Conversion, Shanghai Key Laboratory of Molecular Catalysis and Innovative Materials, Advanced Institute for Future Energy

Xiaomin Li

Department of Chemistry, Shanghai Stomatological Hospital & School of Stomatology, State Key Laboratory of Molecular Engineering of Polymers, iChem (Collaborative Innovation Center of Chemistry for Energy Materials), Shanghai Key Laboratory of Molecular Catalysis and Innovative Materials

Bo Yan

State Key Laboratory of Chemical Resource Engineering, Beijing Advanced Innovation Center for Soft Matter Science and Engineering, College of Chemistry

Dongyuan Zhao

Laboratory of Advanced Materials, Shanghai Key Laboratory of Molecular Catalysis and Innovative Materials, State Key Laboratory of Porous Materials for Separation and Conversion, Fudan University, 220 Handan, Shanghai 200433, P. R. China